Deep Learning Tutorial
Goal of the tutorial: apply Prototypical Networks to rooftop segmentation using only a few labeled tiles
Few-shot segmentation allows the model to learn characteristic rooftop shapes and textures from a small Geneva subset
Demonstrates how rooftop maps can be produced for solar potential estimation in a new geographic setting with limited labels
Size: 1,050 labeled image-mask pairs
Task: Binary segmentation masks (rooftop vs background)
Geographic splits: 3 grids/ neighborhoods (North, Center, South)
Image size: 250x250 pixels
Categories: Industrial, Residential